Shigeru Imoto

3.9k citations
114 papers · 2.7k · h-index 31

Impact in

Papers in

    • Breast Cancer Treatment Studies 63
    • HER2/EGFR in Cancer Research 21
    • Cancer Treatment and Pharmacology 12
    • Cancer survivorship and care 11

Shigeru Imoto

110 papers receiving 2.6k citations

Peers

Shigeru Imoto
Comparison fields: 5 of 104
  • Cancer Research 864
  • Pathology and Forensic Medicine 759
  • Oncology 1.1k
  • Genetics 356
  • Dermatology 255
Replace Ann Smeets with:
Ann Smeets Belgium
Paola Del Bianco Italy
Gretchen Ahrendt United States
Christos Christodoulou Greece
Manuel Benavides Spain
Fiona M. Ross United Kingdom
Donald A. Barkauskas United States
Masayuki Nakajo Japan
Koen DeGeest United States
Anne Uyttebroeck Belgium
Shigeru Imoto relative to Ann Smeets Belgium Ann Smeets's profile →
Citations per field
00.5×4.8×
Ann Smeets · 1×
Citations per year

Countries citing papers authored by Shigeru Imoto

Since Specialization
Citations

This map shows the geographic impact of Shigeru Imoto's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Shigeru Imoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shigeru Imoto more than expected).

Fields of papers citing papers by Shigeru Imoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shigeru Imoto. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Shigeru Imoto. The network helps show where Shigeru Imoto may publish in the future.

Co-authors

The 25 scholars most cited alongside Shigeru Imoto, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Shigeru Imoto Line = papers co-authored together Shigeru Imoto links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 114 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006263
2 2000174
3 1997149
4 2002102
5 200186
6 201475
7 201566
8 200162
9 199759
10 200758
11 200257
12 199657
13 200548
14 200545
15 199944
16 200244
17 200543
18
Optimizing microvessel counts according to tumor zone in invasive ductal carcinoma of the breast.
199942
19 200839
20 200537

About Shigeru Imoto

Shigeru Imoto is a scholar working on Cancer Research, Oncology, Pathology and Forensic Medicine, Pulmonary and Respiratory Medicine and Surgery, having authored 114 papers that have together received 2.7k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (63 papers), Breast Lesions and Carcinomas (41 papers), HER2/EGFR in Cancer Research (21 papers), Cancer-related cognitive impairment studies (13 papers), Breast Implant and Reconstruction (13 papers), Cancer Treatment and Pharmacology (12 papers), Estrogen and related hormone effects (12 papers) and Cancer survivorship and care (11 papers). The work is most often cited by research in Cancer Research (864 citations), Pathology and Forensic Medicine (759 citations), Oncology (1.1k citations), Genetics (356 citations) and Dermatology (255 citations). Shigeru Imoto has collaborated with scholars based in Japan, United Kingdom and United States. Frequent co-authors include Takahiro Hasebe, Yosuke Uchitomi, Noriaki Wada, Tatsuo Akechi, Atsushi Ochiai, Masatoshi Inagaki, Tomohito Nakano, Yutaka Matsuoka, Koji Murakami and Satoshi Sasaki. Their work appears in journals such as Japanese Journal of Clinical Oncology, Breast Cancer, Journal of Clinical Oncology, Breast Cancer Research and Treatment and Human Pathology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact